思维导图备注

Data Science at the Command Line
首页 白天 夜间 BookChat 小程序 小程序 阅读
  • 书签 我的书签
  • 添加书签 添加书签 移除书签 移除书签

3.8 Further Reading

 来源:Jeroen Janssens 浏览 434 扫码 分享 2019-08-10 10:05:37
  • 3.8 Further Reading

    3.8 Further Reading

    • Molinaro, Anthony. 2005. SQL Cookbook. O’Reilly Media.
    • Wikipedia. 2014. “List of Http Status Codes.” http://en.wikipedia.org/wiki/List_of_HTTP_status_codes.
    当前内容版权归 Jeroen Janssens 或其关联方所有，如需对内容或内容相关联开源项目进行关注与资助，请访问 Jeroen Janssens .
    上一篇:
    下一篇:
    • 书签
    • 添加书签 移除书签
    • Welcome
    • Preface
    • Chapter 1 Introduction
      • 1.1 Overview
      • 1.2 Data Science is OSEMN
      • 1.3 Intermezzo Chapters
      • 1.4 What is the Command Line?
      • 1.5 Why Data Science at the Command Line?
      • 1.6 A Real-world Use Case
      • 1.7 Further Reading
    • Chapter 2 Getting Started
      • 2.1 Overview
      • 2.2 Installing the Docker Image
      • 2.3 Essential GNU/Linux Concepts
      • 2.4 Further Reading
    • Chapter 3 Obtaining Data
      • 3.1 Overview
      • 3.2 Copying Local Files to the Data Science Toolbo
      • 3.3 Decompressing Files
      • 3.4 Converting Microsoft Excel Spreadsheets
      • 3.5 Querying Relational Databases
      • 3.6 Downloading from the Internet
      • 3.7 Calling a Web API
      • 3.8 Further Reading
    • Chapter 4 Creating Reusable Command-line Tools
      • 4.1 Overview
      • 4.2 Converting One-liners into Shell Scripts
      • 4.3 Creating Command-line Tools with Python and R
      • 4.4 Further Reading
    • Chapter 5 Scrubbing Data
      • 5.1 Overview
      • 5.2 Common Scrub Operations for Plain Text
      • 5.3 Working with CSV
      • 5.4 Working with XML/HTML and JSON
      • 5.5 Common Scrub Operations for CSV
      • 5.6 Further Reading
    • Chapter 6 Managing Your Data Workflow
      • 6.1 Overview
      • 6.2 Introducing Drake
      • 6.3 Installing Drake
      • 6.4 Obtain Top E-books from Project Gutenberg
      • 6.5 Every Workflow Starts with a Single Step
      • 6.6 Well, That Depends
      • 6.7 Rebuilding Certain Targets
      • 6.8 Discussion
      • 6.9 Further Reading
    • Chapter 7 Exploring Data
      • 7.1 Overview
      • 7.2 Inspecting Data and its Properties
      • 7.3 Computing Descriptive Statistics
      • 7.4 Creating Visualizations
      • 7.5 Further Reading
    • Chapter 8 Parallel Pipelines
      • 8.1 Overview
      • 8.2 Serial Processing
      • 8.3 Parallel Processing
      • 8.4 Distributed Processing
      • 8.5 Discussion
      • 8.6 Further Reading
    • Chapter 9 Modeling Data
      • 9.1 Overview
      • 9.2 More Wine Please!
      • 9.3 Dimensionality Reduction with Tapkee
      • 9.4 Clustering with Weka
      • 9.5 Regression with SciKit-Learn Laboratory
      • 9.6 Classification with BigML
      • 9.7 Further Reading
    • Chapter 10 Conclusion
      • 10.1 Let’s Recap
      • 10.2 Three Pieces of Advice
      • 10.3 Where To Go From Here?
      • 10.4 Getting in Touch
    • References
    暂无相关搜索结果！

      本文档使用 BookStack 构建

      展开/收起文章目录

      分享，让知识传承更久远

      文章二维码

      手机扫一扫，轻松掌上读

      文档下载

      • 普通下载
      • 下载码下载(免登录无限下载)
      你与大神的距离，只差一个APP
      APP下载
      请下载您需要的格式的文档，随时随地，享受汲取知识的乐趣！
      PDF文档 EPUB文档 MOBI文档
      温馨提示 每天每在网站阅读学习一分钟时长可下载一本电子书，每天连续签到可增加阅读时长
      下载码方式下载：免费、免登录、无限制。 免费获取下载码

      微信小程序阅读

      BookChat 微信小程序阅读
      您与他人的薪资差距，只差一个随时随地学习的小程序

      书签列表

        阅读记录

        阅读进度: 0.00% ( 0/0 ) 重置阅读进度